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Joined 1 year ago
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Cake day: July 6th, 2023

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  • History podcasts I like:

    Revolutions. Well known; Mike Duncan goes through various revolutions through history in an excellent, detailed narrative.

    American History Too!: two academics from the university of Glasgow have various guests on to discuss different topics from American history. They know their stuff and are really charismatic.

    In Our Time: BBC podcast that’s been going since the early 2000s. A panel of academics are interviewed and discuss a topic on which they are all experts. Incredibly well researched and interesting, though not especially humorous.




  • FUCKING DOING OUR JOB AS TRANSPORT MODELLERS AND DOING A FUCKING COST BENEFIT ANALYSIS THAT SHOWS YOU’RE NEVER GOING TO GET FUCKING MODE SHIFT FROM RURAL USERS UNLESS YOU RUN A FUCKING METRO STYLE 10 MINUTELY SERVICE WHICH IS FUCKING UNFEASIBLE WITH THE FUCKING RESOURCES WE HAVE AVAILABLE.

    IN THE FUCKING UK WE HAVE A LARGE NUMBER OF FUCKING ABANDONED RAILWAYS FROM THE PERIOD OF FUCKING COAL MINING THAT WOULDN’T HAVE ANYWHERE NEAR THE FUCKING DEMAND NECESSARY TO JUSTIFY SETTING UP AN EXPENSIVE AS FUCK SIGNALLING SYSTEM TO BRING THEM UP TO MODERN FUCKING SAFETY STANDARDS, ALONGSIDE REPLACING THE FUCKING RAILS, SLEEPERS AND BEDS.

    IF INSTEAD YOU CAN HAVE A FUCKING PUBLICALLY OWNED FLEET OF FUCKING ELECTRIC ‘MINI TRAINS’ THAT PEOPLE COULD USE FOR INFREQUENT BUT NECESSARY TRIPS, THAT COULD REMOVE A FUCKING SIGNIFICANT BARRIER TO MODE SHIFT, WHICH WOULD BE PRETTY FUCKING RAD








  • chumbalumber@lemmy.blahaj.zonetoMemes@lemmy.mlTrig
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    1 year ago

    You don’t have to, but it seems perfectly easy since you don’t have to write anything down to solve it. c*sin(arctan(b/a)) gives b, and c*cos(arctan(b/a)) gives a. I’m not disputing that you can do it without, but I don’t think it’s necessarily any quicker or easier.



  • For sure. Systems engineering is a way of trying to apply more rigid thinking to what are known as ‘wicked’ problems. There’s a whole bunch of tools that come under the discipline, but to pick one specific example, causal loop diagrams are often used to help understand why complex phenomena happen. An example:

    This shows a causal loop diagram for an energy network. The pluses indicate positive causation in the direction of the arrows, the minuses negative causation. If you were tasked with coming up with all the causes and impacts of fluctuations in energy demand, you might find it difficult to show (e.g.) positive and negative feedback loops